Workflow-run
Task
Document
- GETDocument metadata
- GETFull document details
- GETDocument CSV content
- POSTUnzip file and return PDFs
- POSTGenerate CSV document
- POSTPresigned URL for upload
- POSTClassify document (async)
- POSTSplit document (async)
- POSTCreate documents from splits
- POSTLegacy extract document (async)
- POSTDocument extraction (async)
- POSTRender document body
- POSTGenerate document from template (async)
- POSTTransform JSON to HTML
- POSTDocument reasoning (async)
- POSTSearch across documents
- GETPDF template document metadata
- POSTCombine PDF documents
Async-result
Communication
Clearinghouse
Ledger
- POSTCreate new ledger order
- POSTPost patient adjustment
- POSTPost institution adjustment
- POSTPost claim adjustment
- POSTPost claim payment
- POSTPost patient payment
- POSTPost institution payment
- POSTPost order write-off
- POSTPost invoice assignment
- POSTReverse a ledger entry
- GETGet outstanding institutional orders
- GETGet all outstanding institutional accounts
- GETGet all outstanding insurance accounts
- GETGet all outstanding patient accounts
- GETGet institutional order balance
- GETGet outstanding balances for a single order
- POSTGet outstanding balances for multiple orders
Integration - Snowflake
Dashboard
Events
Browser Automation
Database
Database
Execute SQL query
Allows execution of arbitrary SQL queries against the Sample database. Supports parameterized queries.
POST
/
api
/
v2
/
database
/
sql
Python
Copy
import os
from samplehc import SampleHealthcare
client = SampleHealthcare(
api_key=os.environ.get("SAMPLEHC_API_KEY"), # This is the default and can be omitted
)
response = client.v2.database.execute_sql(
query="query",
)
print(response.rows)
Copy
{
"rows": [
{}
]
}
Body
application/json
Response
200
application/json
The result of the SQL query execution.
Python
Copy
import os
from samplehc import SampleHealthcare
client = SampleHealthcare(
api_key=os.environ.get("SAMPLEHC_API_KEY"), # This is the default and can be omitted
)
response = client.v2.database.execute_sql(
query="query",
)
print(response.rows)
Copy
{
"rows": [
{}
]
}
Assistant
Responses are generated using AI and may contain mistakes.